The role of utilizing artificial intelligence and renewable energy in reaching sustainable development goals
Many nations want to use only renewable energy by 2050. Given the recent rapid expansion
in RE use in the global energy mix and its progressive impact on the global energy sector …
in RE use in the global energy mix and its progressive impact on the global energy sector …
The role of artificial intelligence in the decision-making process: a study on the financial analysis and movement forecasting of the world's largest stock exchanges
E Alex Avelar, RVD Jordão - Management Decision, 2024 - emerald.com
Purpose This paper aims to analyze the role and performance of different artificial
intelligence (AI) algorithms in forecasting future movements in the main indices of the world's …
intelligence (AI) algorithms in forecasting future movements in the main indices of the world's …
A deep fusion model for stock market prediction with news headlines and time series data
Time series forecasting models are essential decision support tools in real-world domains.
Stock market is a remarkably complex domain, due to its quickly evolving temporal nature …
Stock market is a remarkably complex domain, due to its quickly evolving temporal nature …
Optimizing photovoltaic thermal solar systems efficiency through advanced artificial intelligence driven thermal management techniques
Abstract Photovoltaic Thermal (PV/T) solar systems have the capacity to convert solar
radiation into both electrical and thermal energy. Solar cells convert solar radiation into …
radiation into both electrical and thermal energy. Solar cells convert solar radiation into …
A survey of recent machine learning techniques for stock prediction methodologies
The prime purpose of the research is to investigate stock price prediction techniques and
their shortcomings concerning particular characteristics and performance measures. The …
their shortcomings concerning particular characteristics and performance measures. The …
Enhanced stock market forecasting using dandelion optimization-driven 3D-CNN-GRU classification
The global interest in market prediction has driven the adoption of advanced technologies
beyond traditional statistical models. This paper explores the use of machine learning and …
beyond traditional statistical models. This paper explores the use of machine learning and …
[HTML][HTML] Forecasting Maritime and Financial Market Trends: Leveraging CNN-LSTM Models for Sustainable Ship** and China's Financial Market Integration
Z Han, X Zhu, Z Su - Sustainability, 2024 - mdpi.com
With the acceleration of economic globalization, China's financial market has emerged as a
vital force in the global financial system. The Baltic Dry Index (BDI) and China Container …
vital force in the global financial system. The Baltic Dry Index (BDI) and China Container …
[HTML][HTML] Deep Convolutional Transformer Network for Stock Movement Prediction
L **e, Z Chen, S Yu - Electronics, 2024 - mdpi.com
The prediction and modeling of stock price movements have been shown to possess
considerable economic significance within the finance sector. Recently, a range of artificial …
considerable economic significance within the finance sector. Recently, a range of artificial …
Multifactor prediction model for stock market analysis based on deep learning techniques
K Wang - Scientific Reports, 2025 - nature.com
Stock market stability relies on the shares, investors, and stakeholders' participation and
global commodity exchanges. In general, multiple factors influence the stock market stability …
global commodity exchanges. In general, multiple factors influence the stock market stability …
Unleashing the Power of Tweets and News in Stock-Price Prediction Using Machine-Learning Techniques
Price prediction tools play a significant role in small investors' behavior. As such, this study
aims to propose a method to more effectively predict stock prices in North America. Chiefly …
aims to propose a method to more effectively predict stock prices in North America. Chiefly …